Study on Economic Load Dispatch Based on Improved CPSO Algorithm for Thermal Power Plants

An improved chaos particle swarm optimization (ICPSO) algorithm was proposed by quadratic and chaotic inertial weight approach (QCIWA), where the crossover operation in genetic algorithm was integrated with chaos particle swarm optimization (CPSO) to increase the diversity of population. Meanwhile a new economic load dispatch model of thermal power plant was established considering the valve-point effect of steam turbine by using equal probability constraint treatment mechanism to deal with the constraint conditions, with which the economic load dispatch of 40 units was numerically calculated. Results show that compared with typical CPSO algorithm, the optimum coal cost obtained by ICPSO algorithm can be reduced by 0.78%; in comparison with other optimization algorithms, the ICPSO algorithm is proved to have better optimization effects and higher robustness.